Controlling the Depth, Size, and Number of Subtrees for Two-variable Logic on Trees - Saguy Benaim; Michael Benedikt; Rastislav Lenhardt; James Worrell 001 (CoRR, 2013)

Complexity of Two-Variable Logic on Finite Trees. - Saguy Benaim; Michael Benedikt; Witold Charatonik; Emanuel Kieronski; Rastislav Lenhardt; Filip Mazowiecki; James Worrell 001 (ACM Trans. Comput. Log., 2016)

One-Sided Unsupervised Domain Mapping. - Sagie Benaim; Lior Wolf (NIPS, 2017)

Maximally Distant Cross Domain Generators for Estimating Per-Sample Error. - Sagie Benaim; Tomer Galanti; Lior Wolf (CoRR, 2017)

Estimating the Success of Unsupervised Image to Image Translation. - Sagie Benaim; Tomer Galanti; Lior Wolf (ECCV (5), 2018)

The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings. - Tomer Galanti; Lior Wolf; Sagie Benaim (ICLR (Poster), 2018)

One-Shot Unsupervised Cross Domain Translation. - Sagie Benaim; Lior Wolf (NeurIPS, 2018)

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs. - Tomer Galanti; Sagie Benaim; Lior Wolf (CoRR, 2018)

Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures. - Michael Michelashvili; Sagie Benaim; Lior Wolf (ICASSP, 2019)

Domain Intersection and Domain Difference. - Sagie Benaim; Michael Khaitov; Tomer Galanti; Lior Wolf (ICCV, 2019)

Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. - Ori Press; Tomer Galanti; Sagie Benaim; Lior Wolf (ICLR (Poster), 2019)

Unsupervised Learning of the Set of Local Maxima. - Lior Wolf; Sagie Benaim; Tomer Galanti (ICLR (Poster), 2019)

Mask Based Unsupervised Content Transfer. - Ron Mokady; Sagie Benaim; Lior Wolf; Amit Bermano (CoRR, 2019)

SpeedNet: Learning the Speediness in Videos. - Sagie Benaim; Ariel Ephrat; Oran Lang; Inbar Mosseri; William T. Freeman; Michael Rubinstein; Michal Irani; Tali Dekel (CVPR, 2020)

Masked Based Unsupervised Content Transfer. - Ron Mokady; Sagie Benaim; Lior Wolf; Amit Bermano (ICLR, 2020)

Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. - Shir Gur; Sagie Benaim; Lior Wolf (NeurIPS, 2020)

Structural-analogy from a Single Image Pair. - Sagie Benaim; Ron Mokady; Amit Bermano; Daniel Cohen-Or; Lior Wolf (CoRR, 2020)

Permuted AdaIN: Enhancing the Representation of Local Cues in Image Classifiers. - Oren Nuriel; Sagie Benaim; Lior Wolf (CoRR, 2020)

Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification. - Oren Nuriel; Sagie Benaim; Lior Wolf (CVPR, 2021)

A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. - Shelly Sheynin; Sagie Benaim; Lior Wolf (ICCV, 2021)

Identity and Attribute Preserving Thumbnail Upscaling. - Noam Gat; Sagie Benaim; Lior Wolf (ICIP, 2021)

Structural Analogy from a Single Image Pair. - Saguy Benaim; Ron Mokady; Amit Bermano; Lior Wolf (Comput. Graph. Forum, 2021)

JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting. - Ron Mokady; Rotem Tzaban; Sagie Benaim; Amit H. Bermano; Daniel Cohen-Or (CoRR, 2021)

Locally Shifted Attention With Early Global Integration. - Shelly Sheynin; Sagie Benaim; Adam Polyak; Lior Wolf (CoRR, 2021)

Evaluation Metrics for Conditional Image Generation. - Yaniv Benny; Tomer Galanti; Sagie Benaim; Lior Wolf (Int. J. Comput. Vis., 2021)

Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs. - Tomer Galanti; Sagie Benaim; Lior Wolf (J. Mach. Learn. Res., 2021)

New Problems and Methods in Unsupervised Machine Learning - Sagie Benaim (2021)

Text2Mesh: Text-Driven Neural Stylization for Meshes. - Oscar Michel; Roi Bar-On; Richard Liu; Sagie Benaim; Rana Hanocka (CVPR, 2022)

Image-Based CLIP-Guided Essence Transfer. - Hila Chefer; Sagie Benaim; Roni Paiss; Lior Wolf (ECCV (13), 2022)

Text-Driven Stylization of Video Objects. - Sebastian Loeschcke; Serge J. Belongie; Sagie Benaim (ECCV Workshops (4), 2022)

FewGAN: Generating from the Joint Distribution of a Few Images. - Lior Ben-Moshe; Sagie Benaim; Lior Wolf (ICIP, 2022)

Polynomial Neural Fields for Subband Decomposition and Manipulation. - Guandao Yang; Sagie Benaim; Varun Jampani; Kyle Genova; Jonathan T. Barron; Thomas A. Funkhouser; Bharath Hariharan; Serge J. Belongie (NeurIPS, 2022)

JOKR: Joint Keypoint Representation for Unsupervised Video Retargeting. - Ron Mokady; Rotem Tzaban; Sagie Benaim; Amit H. Bermano; Daniel Cohen-Or (Comput. Graph. Forum, 2022)

On Disentangled and Locally Fair Representations. - Yaron Gurovich; Sagie Benaim; Lior Wolf (CoRR, 2022)

Cross-Domain Relation Adaptation. - Ido Kessler; Omri Lifshitz; Sagie Benaim; Lior Wolf (ACML, 2023)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Hila Chefer; Serge J. Belongie; Lior Wolf; Sagie Benaim (ICCV, 2023)

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. - Katie Luo; Zhenzhen Liu; Xiangyu Chen 007; Yurong You; Sagie Benaim; Cheng Perng Phoo; Mark E. Campbell; Wen Sun 002; Bharath Hariharan; Kilian Q. Weinberger (NeurIPS, 2023)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Sagie Benaim; Hila Chefer; Ryan Cotterell; Lior Wolf; Serge J. Belongie (CoRR, 2023)

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. - Guy Yariv; Itai Gat; Sagie Benaim; Lior Wolf; Idan Schwartz; Yossi Adi (AAAI, 2024)

DGD: Dynamic 3D Gaussians Distillation. - Isaac Labe; Noam Issachar; Itai Lang; Sagie Benaim (ECCV (68), 2024)

Coarse-To-Fine Tensor Trains for Compact Visual Representations. - Sebastian Loeschcke; Dan Wang; Christian Leth-Espensen; Serge J. Belongie; Michael J. Kastoryano; Sagie Benaim (ICML, 2024)

Volumetric Disentanglement for 3D Scene Manipulation. - Sagie Benaim; Frederik Warburg; Peter Ebert Christensen; Serge J. Belongie (WACV, 2024)

Assessing Neural Network Robustness via Adversarial Pivotal Tuning. - Peter Ebert Christensen; Vésteinn Snæbjarnarson; Andrea Dittadi; Serge J. Belongie; Sagie Benaim (WACV, 2024)

Improving Visual Commonsense in Language Models via Multiple Image Generation. - Guy Yariv; Idan Schwartz; Yossi Adi; Sagie Benaim (CoRR, 2024)

Generating Intermediate Representations for Compositional Text-To-Image Generation. - Ran Galun; Sagie Benaim (CoRR, 2024)

Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation. - Guy Yariv; Yuval Kirstain; Amit Zohar; Shelly Sheynin; Yaniv Taigman; Yossi Adi; Sagie Benaim; Adam Polyak (CVPR, 2025)

Designing a Conditional Prior Distribution for Flow-Based Generative Models. - Noam Issachar; Mohammad Salama; Raanan Fattal; Sagie Benaim (CoRR, 2025)

Structurally Disentangled Feature Fields Distillation for 3D Understanding and Editing. - Yoel Levy; David Shavin; Itai Lang; Sagie Benaim (CoRR, 2025)

RewardSDS: Aligning Score Distillation via Reward-Weighted Sampling. - Itay Chachy; Guy Yariv; Sagie Benaim (CoRR, 2025)

Let it Snow! Animating Static Gaussian Scenes With Dynamic Weather Effects. - Gal Fiebelman; Hadar Averbuch-Elor; Sagie Benaim (CoRR, 2025)